llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Kingsoft Llm model product

QZhou-Embedding

QZhou-Embedding is an embedding model from Kingsoft Llm that is ranked on MTEB.

Updated Sep 8, 2026. Default version: QZhou-Embedding

LLMBoard Embedding Score90.2QZhou-Embedding
Coverage85%5 benchmark families
Context window8.2KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

QZhou-Embedding Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

QZhou-Embedding LLMBoard score breakdown

QZhou-Embedding Benchmark Results

Benchmark scores for QZhou-Embedding.

5 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore91.65%Rank01Participants211Percentile100.00%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore51.77%Rank02Participants241Percentile99.58%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore90.70%Rank04Participants257Percentile98.83%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore61.65%Rank06Participants217Percentile97.69%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore67.12%Rank07Participants212Percentile97.16%EvidenceAEvaluatedN/A

QZhou-Embedding Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

QZhou-Embedding Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

QZhou-Embedding Runtime Performance

Provider-specific output speed and catalog latency for QZhou-Embedding. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

QZhou-Embedding Specifications

Technical details for the model's default version.

Version
QZhou-Embedding
Released
Aug 24, 2025
Knowledge cutoff
Unknown
Parameters
7.1B
Context window
8.2K
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

QZhou-Embedding Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionQZhou-EmbeddingReleasedAug 24, 2025LLMBoard90.18Parameters7.1BContext8.2KMax outputN/AOpen weightsYesLicenseapache-2.0

Models similar to QZhou-Embedding

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#2-0.29
JC

ingot-8b-r3

Jcorners

89.89 LLMBoard

Details
#3-0.95
IN

Jasper-Token-Compression-600M

Infgrad

89.23 LLMBoard

Details
#4-1.11
AC

Qwen3-Embedding-8B

Alibaba Cloud / Qwen Team

89.07 LLMBoard

Details
#5-1.77
BS

Seed1.5-Embedding

Bytedance Seed

88.41 LLMBoard

Details
#6-2.49
AC

Qwen3-Embedding-4B

Alibaba Cloud / Qwen Team

87.69 LLMBoard

Details
#7-2.85
BY

Seed1.6-embedding

ByteDance

87.33 LLMBoard

Details

What is QZhou-Embedding?

Key information about QZhou-Embedding and its available data.

QZhou-Embedding is an embedding model provided by Kingsoft Llm. It is listed as a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about QZhou-Embedding.

When was QZhou-Embedding released?

QZhou-Embedding's default version was released on Aug 24, 2025.

How much does QZhou-Embedding cost?

No official standard PAYG price is currently available for QZhou-Embedding.

Who created QZhou-Embedding?

QZhou-Embedding was created by Kingsoft Llm.

What is the context window for QZhou-Embedding?

The default version has a 8.2K token context window.

Is QZhou-Embedding open weight?

Yes. The default version is marked as open weight under apache-2.0.

How many API providers offer QZhou-Embedding?

No provider offering is currently linked to the default version.

Browse runtime rankings